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Opinion
Near-term (1-2 years)
January 5, 2026

What’s next for AI in 2026

January 5, 2026MIT Technology Review AI

Summary

MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. In an industry in constant flux, sticking your neck out to predict what’s coming next may seem reckless. (AI bubble? What AI bubble?) But for the…

Impact Areas

risk
strategic
cost

Sector Impact

For Frontier Models, the article suggests a shift towards responsible AI development practices and increased scrutiny from governments and regulatory bodies. For Government, there will be a need to develop comprehensive AI governance frameworks. The Cybersecurity sector will be significantly affected by the emergence of new attack vectors leveraging AI and the need for AI-driven defense mechanisms.

Analysis Perspective
Executive Perspective

Businesses need to prepare for a world where AI governance is more prevalent, and AI security becomes a critical operational concern. This requires investments in AI security infrastructure, employee training, and processes for ensuring AI systems are deployed responsibly and in compliance with evolving regulations. Workflows may need to be adapted for greater scrutiny.

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